TY  - EJOU
AU  - Zhang, Xun 
AU  - Bai, Wanrong 
AU  - Cui, Haoyang 

TI  - Review of Optical Character Recognition for Power System Image Based on Artificial Intelligence Algorithm
T2  - Energy Engineering

PY  - 2023
VL  - 120
IS  - 3
SN  - 1546-0118

AB  - Optical Character Recognition (OCR) refers to a technology that uses image processing technology and character recognition algorithms to identify characters on an image. This paper is a deep study on the recognition effect of OCR based on Artificial Intelligence (AI) algorithms, in which the different AI algorithms for OCR analysis are classified and reviewed. Firstly, the mechanisms and characteristics of artificial neural network-based OCR are summarized. Secondly, this paper explores machine learning-based OCR, and draws the conclusion that the algorithms available for this form of OCR are still in their infancy, with low generalization and fixed recognition errors, albeit with better recognition effect and higher recognition accuracy. Finally, this paper explores several of the latest algorithms such as deep learning and pattern recognition algorithms. This paper concludes that OCR requires algorithms with higher recognition accuracy.
KW  - Optical character recognition; artificial intelligence; power system image; artificial neural network; machine leaning; deep learning

DO  - 10.32604/ee.2023.020342